


from math import factorial, pi



def UpperCamelCase_				(				__a			,				__a = 30      )	->   float:

      if not isinstance(__a			,				(int, float)      ):
            raise ValueError("maclaurin_sin() requires either an int or float for theta"      )

      if not isinstance(__a			,				__a      ) or accuracy <= 0:
            raise ValueError("maclaurin_sin() requires a positive int for accuracy"      )

      a__	:  Optional[Any]     =   float(__a      )
      a__	:  Any     =   theta // (2 * pi)
      theta -= 2 * div * pi
      return sum(
          (-1) ** r * theta ** (2 * r + 1) / factorial(2 * r + 1      ) for r in range(__a      )      )



def UpperCamelCase_				(				__a			,				__a = 30      )	->   float:

      if not isinstance(__a			,				(int, float)      ):
            raise ValueError("maclaurin_cos() requires either an int or float for theta"      )

      if not isinstance(__a			,				__a      ) or accuracy <= 0:
            raise ValueError("maclaurin_cos() requires a positive int for accuracy"      )

      a__	:  Union[str, Any]     =   float(__a      )
      a__	:  Dict     =   theta // (2 * pi)
      theta -= 2 * div * pi
      return sum((-1) ** r * theta ** (2 * r) / factorial(2 * r      ) for r in range(__a      )      )


if __name__ == "__main__":
    import doctest

    doctest.testmod()

    print(maclaurin_sin(10))
    print(maclaurin_sin(-10))
    print(maclaurin_sin(10, 15))
    print(maclaurin_sin(-10, 15))

    print(maclaurin_cos(5))
    print(maclaurin_cos(-5))
    print(maclaurin_cos(10, 15))
    print(maclaurin_cos(-10, 15))


from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
   if not (is_transformers_available() and is_torch_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_torch_and_transformers_objects import KandinskyPipeline, KandinskyPriorPipeline
else:
   from .pipeline_kandinsky import KandinskyPipeline
   from .pipeline_kandinsky_imgaimg import KandinskyImgaImgPipeline
   from .pipeline_kandinsky_inpaint import KandinskyInpaintPipeline
   from .pipeline_kandinsky_prior import KandinskyPriorPipeline, KandinskyPriorPipelineOutput
   from .text_encoder import MultilingualCLIP




